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Coze Studio

An all-in-one AI agent development platform with visual design tools to build powerful conversational AI applications without coding. Features multi-model integration, knowledge base management, workflow orchestration, and plugin system.

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Deployed8 times
Publisheryuaanlin
Created2025-07-29
Services
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Tags
AIAgentChatbotNo-CodeLow-CodeVector DatabaseMachine LearningWorkflow

Coze Studio - All-in-One AI Agent Development Platform

Coze Studio is a comprehensive open-source AI agent development tool that provides a complete solution from design to deployment.

✨ Key Features

  • 🚀 All-in-One Development: Integrated model services, workflow orchestration, knowledge base management, and all AI development components
  • 🎨 Visual Design: No-code/low-code approach to quickly build AI agents and applications
  • 🧠 Multi-Model Support: Support for OpenAI, Volcengine, and various large language model services
  • 📚 Knowledge Base RAG: Built-in document upload, vectorization storage, and semantic retrieval
  • 🔧 Rich Plugins: Support for third-party service integration and custom plugin development
  • ⚡ Workflow Engine: Drag-and-drop visual workflow design for complex business logic
  • 💬 Conversation Management: Complete multi-turn conversation support and context management
  • 🌐 API & SDK: Complete open API and Chat SDK for easy integration

🏗️ System Architecture

This template includes a complete microservices architecture:

  • MySQL: Main database for storing agent configurations and user information
  • Redis: Caching service to improve system performance
  • Elasticsearch: Full-text search engine for knowledge base search
  • MinIO: Object storage service for file and media resource management
  • Milvus: Vector database for semantic search and similarity matching
  • etcd: Service discovery and configuration management
  • NSQ: High-performance message queue system
  • Coze Server: Main application server

🚀 Quick Start

  1. Deploy Service: After one-click deployment, bind domain to coze-server service
  2. Model Configuration: Configure your large language model API keys (supports OpenAI, Azure OpenAI, Volcengine, etc.)
  3. Start Creating: Use the visual interface to create your first AI agent

💡 Use Cases

  • Customer Service Bot: Build intelligent customer service systems for 24/7 support
  • Knowledge Q&A: Establish enterprise knowledge base Q&A systems
  • Content Generation: Create copywriting, reports, and creative content generation assistants
  • Workflow Automation: Design complex business process automation
  • Multimodal Applications: Intelligent applications combining text and images

⚠️ Important Notes

  • Initial deployment requires time to initialize all service components
  • Recommend at least 4GB memory for production environments
  • Please backup MySQL database and MinIO storage content regularly
  • At least one large language model service must be configured for normal use

🔗 Related Resources